bert-base-uncased-IBM-argQ-30k-finetuned-effectiveness-redditCMV

jakub014/bert-base-uncased-IBM-argQ-30k-finetuned-effectiveness-redditCMV

bert-base-uncased-IBM-argQ-30k-finetuned-effectiveness-redditCMV is a text classification model from jakub014. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 28, 2023
Updated: Mar 28, 2023
SHA: 4ccb5fd1

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Model card

From the Hugging Face model README

bert-base-uncased-IBM-argQ-30k-finetuned-effectiveness-redditCMV

This model is a fine-tuned version of jakub014/bert-base-uncased-IBM-argQ-30k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6691
Accuracy: 0.6531

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6595	1.0	516	0.6330	0.6477
0.5482	2.0	1032	0.6691	0.6531
0.3632	3.0	1548	0.9239	0.6414
0.2158	4.0	2064	1.3534	0.6332
0.1328	5.0	2580	1.7181	0.6283

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 28, 2023
Updated: Mar 28, 2023